Consistency of posterior distributions for neural networks
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[1] Larry Wasserman,et al. Asymptotic Properties of Nonparametric Bayesian Procedures , 1998 .
[2] Herbert K. H. Lee,et al. Model selection and model averaging for neural networks , 1998 .
[3] W. Wong,et al. Probability inequalities for likelihood ratios and convergence rates of sieve MLEs , 1995 .
[4] Peter Müller,et al. Feedforward Neural Networks for Nonparametric Regression , 1998 .
[5] Wray L. Buntine,et al. Bayesian Back-Propagation , 1991, Complex Syst..
[6] Anders Krogh,et al. A Simple Weight Decay Can Improve Generalization , 1991, NIPS.
[7] Eric R. Ziegel,et al. Practical Nonparametric and Semiparametric Bayesian Statistics , 1998, Technometrics.
[8] David Haussler,et al. Metric Entropy and Minimax Risk in Classification , 1997, Structures in Logic and Computer Science.
[9] Sylvia Richardson,et al. Markov Chain Monte Carlo in Practice , 1997 .
[10] Kurt Hornik,et al. Multilayer feedforward networks are universal approximators , 1989, Neural Networks.
[11] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[12] Jon A. Wellner,et al. Weak Convergence and Empirical Processes: With Applications to Statistics , 1996 .
[13] Geoffrey E. Hinton,et al. Bayesian Learning for Neural Networks , 1995 .
[14] Peter Müller,et al. Issues in Bayesian Analysis of Neural Network Models , 1998, Neural Computation.
[15] D. Freedman,et al. On the consistency of Bayes estimates , 1986 .
[16] Ken-ichi Funahashi,et al. On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.
[17] L. Wasserman,et al. The consistency of posterior distributions in nonparametric problems , 1999 .
[18] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .